E.B. Martin

3.1k citations
98 papers · 2.4k indexed · h-index 29

E.B. Martin

91 papers receiving 2.3k citations

Peers

E.B. Martin
Comparison fields: 5 of 123
  • Analytical Chemistry 964
  • Control and Systems Engineering 1.8k
  • Statistics, Probability and Uncertainty 515
  • Mechanical Engineering 1.0k
  • Industrial and Manufacturing Engineering 178
Replace Jong‐Min Lee with:
Jong‐Min Lee South Korea
Paul Nomikos Canada
Shinji Hasebe Japan
Evan L. Russell United States
G.A. Montague United Kingdom
Thomas E. Marlin Canada
Iori Hashimoto Japan
Q. Peter He United States
N.L. Ricker United States
Petr Kadlec Czechia
E.B. Martin relative to Jong‐Min Lee South Korea Jong‐Min Lee's profile →
Citations per field
00.5×1.6×
Jong‐Min Lee · 1×
Citations per year

Countries citing papers authored by E.B. Martin

Since Specialization
Citations

This map shows the geographic impact of E.B. Martin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E.B. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.B. Martin more than expected).

Fields of papers citing papers by E.B. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.B. Martin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E.B. Martin. The network helps show where E.B. Martin may publish in the future.

Co-authorship network

The 25 scholars most cited alongside E.B. Martin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E.B. Martin Line = papers co-authored together E.B. Martin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20234
4 20230
5 20230
6 201810
7 200815
8 20040
9 20040
10 20042
11 200218
12 200232
13 200119
14 200070
15 199923
16 19971
17 19974
18 19961
19
Fault detection and diagnosis using multivariate statistical techniques : Process operations and control
199633
20 19951

About E.B. Martin

E.B. Martin is a scholar working on Analytical Chemistry, Statistics, Probability and Uncertainty, Control and Systems Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (81 papers), Spectroscopy and Chemometric Analyses (52 papers), Mineral Processing and Grinding (34 papers), Advanced Statistical Process Monitoring (30 papers), Advanced Control Systems Optimization (12 papers), Neural Networks and Applications (10 papers), Control Systems and Identification (7 papers) and Water Quality Monitoring and Analysis (6 papers). The work is most often cited by research in Analytical Chemistry (964 citations), Control and Systems Engineering (1.8k citations), Statistics, Probability and Uncertainty (515 citations), Mechanical Engineering (1.0k citations) and Industrial and Manufacturing Engineering (178 citations). E.B. Martin has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include A.J. Morris, Jie Zhang, G. Baffi, A.J. Morris, Costas Kiparissides, Feng Jia, Stephanie Lane, Suresh N. Thennadil, R.‐F. Shao and Keith Scott. Their work appears in journals such as Computers & Chemical Engineering, Process Safety and Environmental Protection, Journal of Chemometrics, Chemometrics and Intelligent Laboratory Systems and Control Engineering Practice.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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